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Abstract—The widespread use of smartphones with their
huge processing capabilities and the array of sensors they
are shipped with, in addition to their mobility feature, have
all opened the door for a multitude of applications in an
unprecedented way. The fact that most drivers these days carry
their smartphones with them presents a great opportunity to
develop a new type of applications that harvest and interpret
the tremendous amount of data smartphones’ sensors collect.
Smart-in-car sensing uses smartphones’ sensors to collect car’s
movement data and puts it into context in a smart way that
helps the driver. Smart-in-car sensing presents smart solutions
to a number of today’s problems faced by drivers. One of the
problems smartphones can help solve is traffic congestion. Fuel
economy driving is another goal smartphones can help drivers
achieve. Combining that with a solution to traffic congestion
can contribute to low carbon dioxide emissions. A smooth and
comfortable drive is something else smartphones sensors can
help the drivers achieve. Moreover, smart-in-car sensing can
prevent drowsy driving, which is a major cause of accidents.
Furthermore, context-aware data provided by smart-in-car
sensing is a gold mine of information that stakeholders can use
to make better plans and to further the transition to smart
cities. The proposed android application uses smartphones’
accelerometer sensor to detect major events the car driver
encounters during his daily drive. The application has to deal
with many challenges, one of these is the fact that sensors’
data, especially the accelerometer, produces too much noise,
and to make use of the sensor’s data there must be a way to
filter out unwanted components of the data. Moreover, even low
power sensors, like the accelerometer, in the fastest mode, can
put considerable power demands on the smartphone’s battery.
Interpreting sensors’ data and putting it into context is also a
great challenge. The application was able to detect road bumps,
driving behavior, and the effect of aggressive driving on the fuel
consumption of the car. Moreover, the application can detect
when a car enters a traffic jam, geotagging the location of the
traffic jam, and share it with other drivers or simply upload it
to the cloud. |
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